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Software Engineer, Data Platform

Numeric· Engineering
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Hybrid (New York)$125k - $250kFull-timePosted 1mo ago

About the role

Engineering role focused on building Numeric's data platform (lakehouse) enabling financial data pipelines, typed source data, schema management, security, and scalable reporting for accounting modules and AI agents.

Responsibilities

  • Ingestion at scale: incremental, watermark-based extraction from API sources (NetSuite, Stripe, Brex, Ramp, HubSpot…), file-based S3 inboxes, and Postgres → ClickHouse replication — and making each new source cheap to add.
  • Data contracts & typed source data: stop downstream consumers from touching untyped raw JSON; enforce schemas at the boundary and make datasets discoverable.
  • Data Lakehouse schema management: a single declare → codegen → apply pipeline so schema intent is codified, reviewable, and applied consistently across tenants.
  • Data Security: Scoping queries, building ACLs, and ensuring that we never, ever compromise our customer’s trust
  • Batch processing & event-driven accounting: decouple event processing from downstream failures; give operators clear “what ran, what failed, and why” answers.
  • Data correctness & observability: completeness checks rooted in platform data, ingestion health, two-phase re-ingest, and explanatory links from ledger entries back to raw events.
  • Reporting scalability: the query patterns and materializations that let reporting drill from a board-level P&L to a single transaction without falling over.
  • Tons of other stuff!

Qualifications

  • 3+ years of software engineering experience, with meaningful time on data-intensive systems.
  • Strong SQL and a working understanding of columnar stores, partitioning, and query performance.
  • Experience with a modern transformation / orchestration stack (SQLMesh, dbt, Dagster, Airflow, or similar).
  • Strong general-purpose programming (primarily TypeScript, with Python).

Skills

Required:SQLTypeScriptdbt / SQLMesh / Dagster / Airflow
Nice to have:Python

Benefits

  • Equity
  • Hybrid in-office first approach in New York, with teams in New York, San Francisco, and London
Last updated Oct 8, 2026. Interested? Apply on the company site.

About Numeric

AI-Powered Close Automation

With Numeric, leading teams organize their close, streamline reconciliations, and leverage AI for auto-drafted flux analysis and lightning-fast reporting.

AccountingAIAutomationFinancial Reports
Company profileWebsite

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